盘式制动器热-结构耦合分析及优化OA

This paper takes a disc brake used in special vehicle as the research object.The thermal-structure coupled finite element model is built using Abaqus.The characteristics of temperature field and stress field under emergency and continuous braking conditions are analyzed.Brake dynamometer(bench)tests are conducted,showing the maximum error between simulation and experimental results is 5.23％.The multi-objective optimization mathematical model of disc brake is built,with the maximum temperature and maximum stress of the brake disc as optimization objectives to optimize the design parameters.A training dataset is constructed using random sampling in combination with the thermo-mechanical coupled simulation model.BP neural network is employed for model training.A BP neural network surrogate model is developed to map optimization variables to objectives.The influence of design parameters is analyzed based on orthogonal experimental design and range analysis.The multi-objective grey wolf optimizer(MOGWO)is applied to solve the multi-objective optimization problem of brake and Pareto optimal set is obtained.Compared with the original scheme,under the emergency braking condition,the maximum temperature of brake disc is reduced by 6.77％and the maximum stress of brake disc is down by 14.24％.Under the continuous braking conditions,the maximum temperature of brake disc center is decreased by 5.60％,and the maximum stress of brake disc center is down by 8.57％.